savepoint

This commit is contained in:
Stefan Dresselhaus
2017-10-24 13:22:20 +02:00
parent 4b92377ec9
commit 88f30c3d87
264 changed files with 42924 additions and 389 deletions

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regularity,variability,improvement,"Evolution error",steps
5.1634e-05,0.019987,0.821015,56.9424.,503
5.98077e-05,0.019987,0.806926,65.8672.,369
5.24599e-05,0.019987,0.819404,61.6979.,506
4.79077e-05,0.019987,0.808663,64.1851.,343
4.62386e-05,0.019987,0.81824,55.1204.,1027
5.29607e-05,0.019987,0.818404,63.4494.,614
5.96103e-05,0.019987,0.819549,56.8508.,704
6.29854e-05,0.019987,0.81534,68.7883.,496
4.80849e-05,0.019987,0.80758,63.1337.,494
5.37275e-05,0.019987,0.82125,71.6163.,295
4.93684e-05,0.019987,0.818061,71.1037.,395
5.93542e-05,0.019987,0.818596,55.0916.,872
4.82919e-05,0.019987,0.821873,63.109.,498
4.3605e-05,0.019987,0.812444,56.7978.,654
5.13112e-05,0.019987,0.819994,64.0039.,517
4.85288e-05,0.019987,0.824177,63.2723.,456
5.31536e-05,0.019987,0.817944,57.7703.,649
5.11693e-05,0.019987,0.816308,61.9955.,697
5.98874e-05,0.019987,0.813035,55.9687.,595
4.77375e-05,0.019987,0.818061,78.0966.,352
4.86381e-05,0.019987,0.819193,65.5659.,372
5.18629e-05,0.019987,0.807262,65.5294.,306
5.98871e-05,0.019987,0.821836,52.8169.,1140
4.75005e-05,0.019987,0.814927,59.6491.,414
6.57343e-05,0.019987,0.816886,54.1868.,714
4.81255e-05,0.019987,0.814093,64.4377.,387
5.66296e-05,0.019987,0.822315,64.634.,416
4.52324e-05,0.019987,0.824189,61.125.,418
4.31071e-05,0.019987,0.819961,59.6531.,642
5.02423e-05,0.019987,0.824477,61.0567.,373
5.64297e-05,0.019987,0.815652,66.6297.,360
4.86533e-05,0.019987,0.81838,70.4683.,344
4.52632e-05,0.019987,0.825565,63.4839.,516
4.40725e-05,0.019987,0.81282,58.2558.,638
5.39424e-05,0.019987,0.82055,66.0124.,401
5.06277e-05,0.019987,0.813651,57.8232.,549
5.27257e-05,0.019987,0.824169,63.7635.,581
5.30141e-05,0.019987,0.81621,58.0721.,799
5.5507e-05,0.019987,0.81341,60.9659.,561
6.39461e-05,0.019987,0.817711,62.2392.,489
4.84306e-05,0.019987,0.818441,75.0921.,324
4.23019e-05,0.019987,0.818999,55.2029.,894
4.93436e-05,0.019987,0.819546,82.5252.,232
5.32164e-05,0.019987,0.810498,60.4597.,641
5.31507e-05,0.019987,0.821089,58.192.,650
5.35528e-05,0.019987,0.818609,65.2124.,552
6.1614e-05,0.019987,0.811118,60.0963.,547
5.71983e-05,0.019987,0.820583,75.3887.,327
4.83152e-05,0.019987,0.818396,80.3804.,337
6.61514e-05,0.019987,0.815516,55.2663.,820
4.82425e-05,0.019987,0.818924,60.0725.,659
5.62528e-05,0.019987,0.814976,62.3384.,561
5.729e-05,0.019987,0.813128,64.2813.,423
5.05547e-05,0.019987,0.828796,61.7037.,452
6.5795e-05,0.019987,0.819006,59.3731.,682
4.81851e-05,0.019987,0.810773,65.7621.,519
4.71572e-05,0.019987,0.818411,63.3544.,597
5.51473e-05,0.019987,0.821968,56.9314.,714
5.11641e-05,0.019987,0.818027,59.2639.,508
4.6152e-05,0.019987,0.814812,73.3526.,334
5.38669e-05,0.019987,0.826693,66.3558.,487
5.32945e-05,0.019987,0.821158,60.2468.,587
6.13858e-05,0.019987,0.819076,59.9975.,683
5.70354e-05,0.019987,0.812178,66.071.,418
4.69061e-05,0.019987,0.821529,66.9982.,484
6.00754e-05,0.019987,0.821096,56.1226.,754
5.19496e-05,0.019987,0.822357,66.7656.,602
5.63659e-05,0.019987,0.822386,65.502.,459
4.77469e-05,0.019987,0.823807,59.5304.,745
6.46184e-05,0.019987,0.817669,59.7764.,536
5.2327e-05,0.019987,0.822045,62.1932.,439
5.12023e-05,0.019987,0.818101,61.2462.,463
5.40361e-05,0.019987,0.812991,75.8608.,319
6.30794e-05,0.019987,0.81467,69.8036.,417
5.08535e-05,0.019987,0.812769,64.1075.,567
5.70836e-05,0.019987,0.821128,66.444.,419
5.12706e-05,0.019987,0.826058,55.9495.,596
5.15447e-05,0.019987,0.824358,74.2188.,617
5.50095e-05,0.019987,0.808441,61.8076.,343
5.22578e-05,0.019987,0.826867,65.2168.,445
5.57071e-05,0.019987,0.814731,57.2958.,473
5.8164e-05,0.019987,0.811804,52.0186.,649
4.83922e-05,0.019987,0.812076,66.3049.,386
5.68428e-05,0.019987,0.818022,68.9979.,485
5.56237e-05,0.019987,0.828738,64.4292.,587
5.75105e-05,0.019987,0.812075,57.3039.,681
4.43022e-05,0.019987,0.821805,60.8438.,440
6.01032e-05,0.019987,0.818629,61.5872.,452
5.0508e-05,0.019987,0.823783,58.9557.,505
5.30727e-05,0.019987,0.824292,58.0811.,515
5.77523e-05,0.019987,0.810299,61.8499.,662
5.4172e-05,0.019987,0.817539,58.8907.,516
5.48127e-05,0.019987,0.810484,60.5339.,607
5.55181e-05,0.019987,0.818503,66.9486.,408
5.62617e-05,0.019987,0.826397,57.7944.,720
4.60446e-05,0.019987,0.82628,62.5237.,605
5.49339e-05,0.019987,0.820646,60.6411.,411
6.71911e-05,0.019987,0.814597,72.3431.,372
5.07036e-05,0.019987,0.811846,61.1932.,503
5.71656e-05,0.019987,0.807624,59.7782.,506
5.68834e-05,0.019987,0.810044,58.5321.,460
4.6687e-05,0.019987,0.824431,60.3221.,726
6.41573e-05,0.019987,0.80597,62.104.,504
5.31651e-05,0.019987,0.825726,65.3453.,367
5.70612e-05,0.019987,0.823074,61.6116.,745
5.58052e-05,0.019987,0.818552,62.1421.,411
4.92271e-05,0.019987,0.813883,64.1642.,561
5.11719e-05,0.019987,0.815262,59.2356.,499
6.10619e-05,0.019987,0.817943,55.0987.,1004
4.4631e-05,0.019987,0.805461,64.6963.,474
1 regularity variability improvement Evolution error steps
2 5.1634e-05 0.019987 0.821015 56.9424. 503
3 5.98077e-05 0.019987 0.806926 65.8672. 369
4 5.24599e-05 0.019987 0.819404 61.6979. 506
5 4.79077e-05 0.019987 0.808663 64.1851. 343
6 4.62386e-05 0.019987 0.81824 55.1204. 1027
7 5.29607e-05 0.019987 0.818404 63.4494. 614
8 5.96103e-05 0.019987 0.819549 56.8508. 704
9 6.29854e-05 0.019987 0.81534 68.7883. 496
10 4.80849e-05 0.019987 0.80758 63.1337. 494
11 5.37275e-05 0.019987 0.82125 71.6163. 295
12 4.93684e-05 0.019987 0.818061 71.1037. 395
13 5.93542e-05 0.019987 0.818596 55.0916. 872
14 4.82919e-05 0.019987 0.821873 63.109. 498
15 4.3605e-05 0.019987 0.812444 56.7978. 654
16 5.13112e-05 0.019987 0.819994 64.0039. 517
17 4.85288e-05 0.019987 0.824177 63.2723. 456
18 5.31536e-05 0.019987 0.817944 57.7703. 649
19 5.11693e-05 0.019987 0.816308 61.9955. 697
20 5.98874e-05 0.019987 0.813035 55.9687. 595
21 4.77375e-05 0.019987 0.818061 78.0966. 352
22 4.86381e-05 0.019987 0.819193 65.5659. 372
23 5.18629e-05 0.019987 0.807262 65.5294. 306
24 5.98871e-05 0.019987 0.821836 52.8169. 1140
25 4.75005e-05 0.019987 0.814927 59.6491. 414
26 6.57343e-05 0.019987 0.816886 54.1868. 714
27 4.81255e-05 0.019987 0.814093 64.4377. 387
28 5.66296e-05 0.019987 0.822315 64.634. 416
29 4.52324e-05 0.019987 0.824189 61.125. 418
30 4.31071e-05 0.019987 0.819961 59.6531. 642
31 5.02423e-05 0.019987 0.824477 61.0567. 373
32 5.64297e-05 0.019987 0.815652 66.6297. 360
33 4.86533e-05 0.019987 0.81838 70.4683. 344
34 4.52632e-05 0.019987 0.825565 63.4839. 516
35 4.40725e-05 0.019987 0.81282 58.2558. 638
36 5.39424e-05 0.019987 0.82055 66.0124. 401
37 5.06277e-05 0.019987 0.813651 57.8232. 549
38 5.27257e-05 0.019987 0.824169 63.7635. 581
39 5.30141e-05 0.019987 0.81621 58.0721. 799
40 5.5507e-05 0.019987 0.81341 60.9659. 561
41 6.39461e-05 0.019987 0.817711 62.2392. 489
42 4.84306e-05 0.019987 0.818441 75.0921. 324
43 4.23019e-05 0.019987 0.818999 55.2029. 894
44 4.93436e-05 0.019987 0.819546 82.5252. 232
45 5.32164e-05 0.019987 0.810498 60.4597. 641
46 5.31507e-05 0.019987 0.821089 58.192. 650
47 5.35528e-05 0.019987 0.818609 65.2124. 552
48 6.1614e-05 0.019987 0.811118 60.0963. 547
49 5.71983e-05 0.019987 0.820583 75.3887. 327
50 4.83152e-05 0.019987 0.818396 80.3804. 337
51 6.61514e-05 0.019987 0.815516 55.2663. 820
52 4.82425e-05 0.019987 0.818924 60.0725. 659
53 5.62528e-05 0.019987 0.814976 62.3384. 561
54 5.729e-05 0.019987 0.813128 64.2813. 423
55 5.05547e-05 0.019987 0.828796 61.7037. 452
56 6.5795e-05 0.019987 0.819006 59.3731. 682
57 4.81851e-05 0.019987 0.810773 65.7621. 519
58 4.71572e-05 0.019987 0.818411 63.3544. 597
59 5.51473e-05 0.019987 0.821968 56.9314. 714
60 5.11641e-05 0.019987 0.818027 59.2639. 508
61 4.6152e-05 0.019987 0.814812 73.3526. 334
62 5.38669e-05 0.019987 0.826693 66.3558. 487
63 5.32945e-05 0.019987 0.821158 60.2468. 587
64 6.13858e-05 0.019987 0.819076 59.9975. 683
65 5.70354e-05 0.019987 0.812178 66.071. 418
66 4.69061e-05 0.019987 0.821529 66.9982. 484
67 6.00754e-05 0.019987 0.821096 56.1226. 754
68 5.19496e-05 0.019987 0.822357 66.7656. 602
69 5.63659e-05 0.019987 0.822386 65.502. 459
70 4.77469e-05 0.019987 0.823807 59.5304. 745
71 6.46184e-05 0.019987 0.817669 59.7764. 536
72 5.2327e-05 0.019987 0.822045 62.1932. 439
73 5.12023e-05 0.019987 0.818101 61.2462. 463
74 5.40361e-05 0.019987 0.812991 75.8608. 319
75 6.30794e-05 0.019987 0.81467 69.8036. 417
76 5.08535e-05 0.019987 0.812769 64.1075. 567
77 5.70836e-05 0.019987 0.821128 66.444. 419
78 5.12706e-05 0.019987 0.826058 55.9495. 596
79 5.15447e-05 0.019987 0.824358 74.2188. 617
80 5.50095e-05 0.019987 0.808441 61.8076. 343
81 5.22578e-05 0.019987 0.826867 65.2168. 445
82 5.57071e-05 0.019987 0.814731 57.2958. 473
83 5.8164e-05 0.019987 0.811804 52.0186. 649
84 4.83922e-05 0.019987 0.812076 66.3049. 386
85 5.68428e-05 0.019987 0.818022 68.9979. 485
86 5.56237e-05 0.019987 0.828738 64.4292. 587
87 5.75105e-05 0.019987 0.812075 57.3039. 681
88 4.43022e-05 0.019987 0.821805 60.8438. 440
89 6.01032e-05 0.019987 0.818629 61.5872. 452
90 5.0508e-05 0.019987 0.823783 58.9557. 505
91 5.30727e-05 0.019987 0.824292 58.0811. 515
92 5.77523e-05 0.019987 0.810299 61.8499. 662
93 5.4172e-05 0.019987 0.817539 58.8907. 516
94 5.48127e-05 0.019987 0.810484 60.5339. 607
95 5.55181e-05 0.019987 0.818503 66.9486. 408
96 5.62617e-05 0.019987 0.826397 57.7944. 720
97 4.60446e-05 0.019987 0.82628 62.5237. 605
98 5.49339e-05 0.019987 0.820646 60.6411. 411
99 6.71911e-05 0.019987 0.814597 72.3431. 372
100 5.07036e-05 0.019987 0.811846 61.1932. 503
101 5.71656e-05 0.019987 0.807624 59.7782. 506
102 5.68834e-05 0.019987 0.810044 58.5321. 460
103 4.6687e-05 0.019987 0.824431 60.3221. 726
104 6.41573e-05 0.019987 0.80597 62.104. 504
105 5.31651e-05 0.019987 0.825726 65.3453. 367
106 5.70612e-05 0.019987 0.823074 61.6116. 745
107 5.58052e-05 0.019987 0.818552 62.1421. 411
108 4.92271e-05 0.019987 0.813883 64.1642. 561
109 5.11719e-05 0.019987 0.815262 59.2356. 499
110 6.10619e-05 0.019987 0.817943 55.0987. 1004
111 4.4631e-05 0.019987 0.805461 64.6963. 474

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*******************************************************************************
Mon Oct 23 12:06:26 2017
FIT: data read from "20171021-evolution3D_6x6_100Times.csv" every ::1 using 1:5
format = x:z
#datapoints = 110
residuals are weighted equally (unit weight)
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 3.41837e+07 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.707107
initial set of free parameter values
a = 1
b = 1
After 3 iterations the fit converged.
final sum of squares of residuals : 2.82403e+06
rel. change during last iteration : -2.99991e-06
degrees of freedom (FIT_NDF) : 108
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 161.705
variance of residuals (reduced chisquare) = WSSR/ndf : 26148.4
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 295.027 +/- 2.748e+06 (9.313e+05%)
b = 534.921 +/- 147.5 (27.58%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.995 1.000
*******************************************************************************
Mon Oct 23 12:06:26 2017
FIT: data read from "20171021-evolution3D_6x6_100Times.csv" every ::1 using 3:5
format = x:z
#datapoints = 110
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 3.40877e+07 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.91346
initial set of free parameter values
aa = 1
bb = 1
After 5 iterations the fit converged.
final sum of squares of residuals : 2.78082e+06
rel. change during last iteration : -3.34692e-12
degrees of freedom (FIT_NDF) : 108
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 160.463
variance of residuals (reduced chisquare) = WSSR/ndf : 25748.3
Final set of parameters Asymptotic Standard Error
======================= ==========================
aa = 3735.6 +/- 2883 (77.19%)
bb = -2520.03 +/- 2358 (93.57%)
correlation matrix of the fit parameters:
aa bb
aa 1.000
bb -1.000 1.000
*******************************************************************************
Mon Oct 23 12:06:26 2017
FIT: data read from "20171021-evolution3D_6x6_100Times.csv" every ::1 using 3:4
format = x:z
#datapoints = 110
residuals are weighted equally (unit weight)
function used for fitting: h(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 413045 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.91346
initial set of free parameter values
aaa = 1
bbb = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 3575.34
rel. change during last iteration : -2.68313e-07
degrees of freedom (FIT_NDF) : 108
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.7537
variance of residuals (reduced chisquare) = WSSR/ndf : 33.105
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaa = 15.0528 +/- 103.4 (686.9%)
bbb = 50.5195 +/- 84.55 (167.4%)
correlation matrix of the fit parameters:
aaa bbb
aaa 1.000
bbb -1.000 1.000

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@ -0,0 +1,228 @@
Iteration 0
WSSR : 3.41837e+07 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.707107
initial set of free parameter values
a = 1
b = 1
/
Iteration 1
WSSR : 2.82468e+06 delta(WSSR)/WSSR : -11.1018
delta(WSSR) : -3.1359e+07 limit for stopping : 1e-05
lambda : 0.0707107
resultant parameter values
a = 1.05749
b = 532.52
/
Iteration 2
WSSR : 2.82404e+06 delta(WSSR)/WSSR : -0.000227391
delta(WSSR) : -642.162 limit for stopping : 1e-05
lambda : 0.00707107
resultant parameter values
a = 3.96842
b = 534.936
/
Iteration 3
WSSR : 2.82403e+06 delta(WSSR)/WSSR : -2.99991e-06
delta(WSSR) : -8.47182 limit for stopping : 1e-05
lambda : 0.000707107
resultant parameter values
a = 295.027
b = 534.921
After 3 iterations the fit converged.
final sum of squares of residuals : 2.82403e+06
rel. change during last iteration : -2.99991e-06
degrees of freedom (FIT_NDF) : 108
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 161.705
variance of residuals (reduced chisquare) = WSSR/ndf : 26148.4
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 295.027 +/- 2.748e+06 (9.313e+05%)
b = 534.921 +/- 147.5 (27.58%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.995 1.000
Iteration 0
WSSR : 3.40877e+07 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.91346
initial set of free parameter values
aa = 1
bb = 1
/
Iteration 1
WSSR : 2.81866e+06 delta(WSSR)/WSSR : -11.0936
delta(WSSR) : -3.12691e+07 limit for stopping : 1e-05
lambda : 0.091346
resultant parameter values
aa = 268.808
bb = 312.741
/
Iteration 2
WSSR : 2.80571e+06 delta(WSSR)/WSSR : -0.00461335
delta(WSSR) : -12943.7 limit for stopping : 1e-05
lambda : 0.0091346
resultant parameter values
aa = 900.525
bb = -201.471
/
Iteration 3
WSSR : 2.78087e+06 delta(WSSR)/WSSR : -0.00893463
delta(WSSR) : -24846 limit for stopping : 1e-05
lambda : 0.00091346
resultant parameter values
aa = 3613.62
bb = -2420.26
/
Iteration 4
WSSR : 2.78082e+06 delta(WSSR)/WSSR : -1.65729e-05
delta(WSSR) : -46.0863 limit for stopping : 1e-05
lambda : 9.1346e-05
resultant parameter values
aa = 3735.55
bb = -2519.98
/
Iteration 5
WSSR : 2.78082e+06 delta(WSSR)/WSSR : -3.34692e-12
delta(WSSR) : -9.30717e-06 limit for stopping : 1e-05
lambda : 9.1346e-06
resultant parameter values
aa = 3735.6
bb = -2520.03
After 5 iterations the fit converged.
final sum of squares of residuals : 2.78082e+06
rel. change during last iteration : -3.34692e-12
degrees of freedom (FIT_NDF) : 108
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 160.463
variance of residuals (reduced chisquare) = WSSR/ndf : 25748.3
Final set of parameters Asymptotic Standard Error
======================= ==========================
aa = 3735.6 +/- 2883 (77.19%)
bb = -2520.03 +/- 2358 (93.57%)
correlation matrix of the fit parameters:
aa bb
aa 1.000
bb -1.000 1.000
Iteration 0
WSSR : 413045 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.91346
initial set of free parameter values
aaa = 1
bbb = 1
/
Iteration 1
WSSR : 3584.5 delta(WSSR)/WSSR : -114.231
delta(WSSR) : -409460 limit for stopping : 1e-05
lambda : 0.091346
resultant parameter values
aaa = 30.7288
bbb = 37.4234
/
Iteration 2
WSSR : 3575.86 delta(WSSR)/WSSR : -0.00241619
delta(WSSR) : -8.63998 limit for stopping : 1e-05
lambda : 0.0091346
resultant parameter values
aaa = 27.9873
bbb = 39.9415
/
Iteration 3
WSSR : 3575.35 delta(WSSR)/WSSR : -0.000144652
delta(WSSR) : -0.517182 limit for stopping : 1e-05
lambda : 0.00091346
resultant parameter values
aaa = 15.6091
bbb = 50.0645
/
Iteration 4
WSSR : 3575.34 delta(WSSR)/WSSR : -2.68313e-07
delta(WSSR) : -0.00095931 limit for stopping : 1e-05
lambda : 9.1346e-05
resultant parameter values
aaa = 15.0528
bbb = 50.5195
After 4 iterations the fit converged.
final sum of squares of residuals : 3575.34
rel. change during last iteration : -2.68313e-07
degrees of freedom (FIT_NDF) : 108
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.7537
variance of residuals (reduced chisquare) = WSSR/ndf : 33.105
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaa = 15.0528 +/- 103.4 (686.9%)
bbb = 50.5195 +/- 84.55 (167.4%)
correlation matrix of the fit parameters:
aaa bbb
aaa 1.000
bbb -1.000 1.000

View File

@ -0,0 +1,20 @@
set datafile separator ","
f(x)=a*x+b
fit f(x) "20171021-evolution3D_6x6_100Times.csv" every ::1 using 1:5 via a,b
set terminal png
set xlabel 'regularity'
set ylabel 'steps'
set output "20171021-evolution3D_6x6_100Times_regularity-vs-steps.png"
plot "20171021-evolution3D_6x6_100Times.csv" every ::1 using 1:5 title "data", f(x) title "lin. fit" lc rgb "black"
g(x)=aa*x+bb
fit g(x) "20171021-evolution3D_6x6_100Times.csv" every ::1 using 3:5 via aa,bb
set xlabel 'improvement potential'
set ylabel 'steps'
set output "20171021-evolution3D_6x6_100Times_improvement-vs-steps.png"
plot "20171021-evolution3D_6x6_100Times.csv" every ::1 using 3:5 title "data", g(x) title "lin. fit" lc rgb "black"
h(x)=aaa*x+bbb
fit h(x) "20171021-evolution3D_6x6_100Times.csv" every ::1 using 3:4 via aaa,bbb
set xlabel 'improvement potential'
set ylabel 'evolution error'
set output "20171021-evolution3D_6x6_100Times_improvement-vs-evo-error.png"
plot "20171021-evolution3D_6x6_100Times.csv" every ::1 using 3:4 title "data", h(x) title "lin. fit" lc rgb "black"

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@ -0,0 +1,311 @@
regularity,variability,improvement,"Evolution error",steps
6.57581e-05,0.00592209,0.622392,113.016,2368
5.16451e-05,0.00592209,0.610293,118.796,2433
6.45083e-05,0.00592209,0.592139,127.157,1655
7.14801e-05,0.00592209,0.624039,121.613,1933
5.62707e-05,0.00592209,0.611091,119.539,2618
5.55953e-05,0.00592209,0.625812,119.512,2505
5.96026e-05,0.00592209,0.622873,118.285,1582
6.63676e-05,0.00592209,0.602386,126.579,2214
5.93125e-05,0.00592209,0.608913,122.512,2262
6.05066e-05,0.00592209,0.621467,118.473,2465
6.42976e-05,0.00592209,0.602593,121.998,2127
5.32868e-05,0.00592209,0.616501,115.313,2746
5.47856e-05,0.00592209,0.615173,118.034,2148
6.47209e-05,0.00592209,0.603935,120.003,2304
7.07812e-05,0.00592209,0.620422,123.494,1941
6.49313e-05,0.00592209,0.616232,122.989,2214
6.64295e-05,0.00592209,0.605206,123.757,1675
5.88806e-05,0.00592209,0.628055,110.67,2230
7.56461e-05,0.00592209,0.625361,121.232,2187
4.932e-05,0.00592209,0.612261,120.979,2280
5.45998e-05,0.00592209,0.61935,115.394,2380
6.10654e-05,0.00592209,0.614029,116.928,2327
6.09488e-05,0.00592209,0.611892,125.294,1609
5.85691e-05,0.00592209,0.632686,111.635,2831
6.87292e-05,0.00592209,0.61519,114.681,2565
6.53377e-05,0.00592209,0.627408,111.935,2596
6.98345e-05,0.00592209,0.616158,111.392,2417
7.90547e-05,0.00592209,0.620575,115.346,2031
6.50231e-05,0.00592209,0.625725,119.055,1842
6.76541e-05,0.00592209,0.625399,117.452,1452
5.72222e-05,0.00592209,0.614171,123.379,2186
7.42483e-05,0.00592209,0.624683,115.053,2236
6.9354e-05,0.00592209,0.619596,123.994,1688
5.75478e-05,0.00592209,0.605051,118.576,1930
6.01309e-05,0.00592209,0.617511,116.894,2184
6.69251e-05,0.00592209,0.608408,120.129,2007
4.66926e-05,0.00592209,0.60606,126.708,1552
4.90102e-05,0.00592209,0.618673,114.595,2783
5.51505e-05,0.00592209,0.619245,120.056,2463
6.1007e-05,0.00592209,0.605215,122.057,1493
5.04717e-05,0.00592209,0.623503,116.846,2620
6.3578e-05,0.00592209,0.625261,124.35,2193
5.8875e-05,0.00592209,0.624526,118.43,2502
7.95299e-05,0.00592209,0.611719,116.574,1849
6.42733e-05,0.00592209,0.608178,128.474,2078
6.41674e-05,0.00592209,0.624042,111.111,2037
4.88661e-05,0.00592209,0.615408,120.004,2627
7.27714e-05,0.00592209,0.626926,119.866,2128
4.84641e-05,0.00592209,0.608054,119.676,2408
6.66562e-05,0.00592209,0.603902,128.957,1668
5.99872e-05,0.00592209,0.63676,108.467,3448
7.73127e-05,0.00592209,0.62232,123.353,1551
6.67597e-05,0.00592209,0.621411,123.301,2180
5.2819e-05,0.00592209,0.617515,114.838,4096
5.29257e-05,0.00592209,0.622611,118.611,1973
5.35212e-05,0.00592209,0.62533,109.616,3424
7.1947e-05,0.00592209,0.632331,113.565,2905
5.04311e-05,0.00592209,0.611559,120.01,2147
6.57161e-05,0.00592209,0.617789,125.441,1820
5.18695e-05,0.00592209,0.610402,122.541,2430
6.47262e-05,0.00592209,0.609141,123.169,1989
5.87925e-05,0.00592209,0.61627,117.344,2143
4.36904e-05,0.00592209,0.631954,112.674,3526
6.45195e-05,0.00592209,0.614402,118.787,1765
5.8354e-05,0.00592209,0.615515,112.061,2368
7.14669e-05,0.00592209,0.628382,110.262,1923
7.24908e-05,0.00592209,0.610848,116.504,1830
5.98617e-05,0.00592209,0.622949,109.607,3609
5.90411e-05,0.00592209,0.629175,122.198,1859
5.25569e-05,0.00592209,0.621253,124.527,1876
5.86979e-05,0.00592209,0.612603,120.886,2916
4.73113e-05,0.00592209,0.610586,119.176,2072
5.8777e-05,0.00592209,0.62863,121.081,2338
5.6608e-05,0.00592209,0.617215,121.038,3021
5.74614e-05,0.00592209,0.626088,112.392,2182
6.86466e-05,0.00592209,0.631893,121.148,2246
4.77969e-05,0.00592209,0.635218,117.053,2939
5.50553e-05,0.00592209,0.610707,123.651,1417
6.89628e-05,0.00592209,0.638474,128.446,1840
6.85622e-05,0.00592209,0.620769,115.527,2116
5.28017e-05,0.00592209,0.614948,121.456,2178
7.06916e-05,0.00592209,0.61804,127.418,2354
6.81788e-05,0.00592209,0.616056,113.541,2768
7.89711e-05,0.00592209,0.615108,116.805,2293
5.84297e-05,0.00592209,0.612733,123.244,2206
5.53374e-05,0.00592209,0.605062,123.095,1902
5.51739e-05,0.00592209,0.631543,115.9,3145
6.9413e-05,0.00592209,0.59103,124.024,1475
5.08739e-05,0.00592209,0.621454,114.685,3356
5.95256e-05,0.00592209,0.626188,113.428,2336
5.63659e-05,0.00592209,0.618554,117.456,2105
6.32019e-05,0.00592209,0.616926,122.15,1799
6.05333e-05,0.00592209,0.613481,124.576,1873
5.35997e-05,0.00592209,0.621122,113.63,2834
5.94187e-05,0.00592209,0.606925,126.608,1970
6.52182e-05,0.00592209,0.610882,129.916,1246
6.78626e-05,0.00592209,0.608581,119.673,2155
5.12495e-05,0.00592209,0.6262,116.233,3037
6.7083e-05,0.00592209,0.608299,125.086,1595
6.74099e-05,0.00592209,0.620429,112.897,2800
7.0689e-05,0.0115666,0.73748,73.9627,781
8.30021e-05,0.0115666,0.733986,79.3303,965
0.000115663,0.0115666,0.754351,72.8373,1029
0.000115101,0.0115666,0.761361,60.0032,1435
0.000130222,0.0115666,0.760933,80.1321,1189
0.000134453,0.0115666,0.765,66.1526,1209
0.000108858,0.0115666,0.741158,74.6032,940
0.000100633,0.0115666,0.742555,71.3161,874
9.22496e-05,0.0115666,0.750011,71.9377,1407
7.41514e-05,0.0115666,0.742094,70.127,1525
0.000149467,0.0115666,0.75484,61.7195,1705
0.000168885,0.0115666,0.73862,86.6101,593
0.000122462,0.0115666,0.731222,77.235,770
0.000117266,0.0115666,0.757041,70.3058,1136
0.000119127,0.0115666,0.747804,73.3268,890
0.000124455,0.0115666,0.748928,72.8603,743
9.47125e-05,0.0115666,0.738797,70.5867,1935
7.9171e-05,0.0115666,0.741438,79.8851,1007
9.00926e-05,0.0115666,0.729562,89.169,854
9.71306e-05,0.0115666,0.73793,86.3505,849
0.000113959,0.0115666,0.738424,77.8282,842
0.000108279,0.0115666,0.755674,70.418,1942
6.42834e-05,0.0115666,0.740169,82.3889,861
8.8094e-05,0.0115666,0.737385,80.3257,902
8.57496e-05,0.0115666,0.731752,85.6612,649
7.97196e-05,0.0115666,0.764609,76.2377,671
0.000107926,0.0115666,0.747697,76.8062,905
5.63544e-05,0.0115666,0.740041,75.0253,1091
0.000127036,0.0115666,0.746509,73.6296,1218
8.93177e-05,0.0115666,0.750775,71.8145,1018
7.13592e-05,0.0115666,0.746741,82.1172,1052
0.000121511,0.0115666,0.747184,68.4228,1322
0.000154913,0.0115666,0.736936,74.5628,937
0.000120138,0.0115666,0.75356,82.4297,698
5.97068e-05,0.0115666,0.744391,74.6568,952
0.000104185,0.0115666,0.7341,76.5874,1223
0.000123751,0.0115666,0.735266,82.2821,715
0.000108341,0.0115666,0.744947,71.321,1058
9.75329e-05,0.0115666,0.746476,80.1887,1033
6.51759e-05,0.0115666,0.754359,60.0022,3631
9.35949e-05,0.0115666,0.733867,73.5674,1300
8.56673e-05,0.0115666,0.744773,68.7547,1081
7.41782e-05,0.0115666,0.754371,97.4154,907
0.000111943,0.0115666,0.749778,81.1639,1013
8.48407e-05,0.0115666,0.726201,82.2747,473
6.14894e-05,0.0115666,0.746102,70.415,938
6.76652e-05,0.0115666,0.736705,72.564,881
9.73343e-05,0.0115666,0.754973,70.1961,1019
9.54201e-05,0.0115666,0.718442,83.8507,762
7.51464e-05,0.0115666,0.736317,82.3622,646
0.000105639,0.0115666,0.741073,74.3285,1122
0.000131041,0.0115666,0.735624,84.2108,860
0.000136142,0.0115666,0.754096,69.7744,1124
8.76576e-05,0.0115666,0.734191,82.1376,889
8.54651e-05,0.0115666,0.731117,74.2818,715
0.000121696,0.0115666,0.736555,78.989,1029
0.000124672,0.0115666,0.748948,82.2812,939
0.000135654,0.0115666,0.738358,74.0614,1106
7.8306e-05,0.0115666,0.73738,83.257,390
0.000117894,0.0115666,0.756543,72.454,1223
0.000107745,0.0115666,0.729775,71.9554,1000
0.000177142,0.0115666,0.733159,93.8159,756
0.000120879,0.0115666,0.752328,64.5602,979
0.000160079,0.0115666,0.737225,81.597,836
0.000108096,0.0115666,0.737118,74.8947,802
0.000104671,0.0115666,0.746382,71.937,1625
8.82439e-05,0.0115666,0.739388,82.8423,728
0.000128997,0.0115666,0.754149,66.0827,1490
0.0001338,0.0115666,0.751957,79.8222,859
0.000112858,0.0115666,0.745379,80.2208,729
0.000114923,0.0115666,0.749297,76.7288,856
7.53845e-05,0.0115666,0.748722,75.2866,842
7.55779e-05,0.0115666,0.77028,75.6383,970
8.87548e-05,0.0115666,0.743615,79.3073,806
8.4754e-05,0.0115666,0.760469,69.5742,1140
0.000129571,0.0115666,0.745269,76.4946,975
0.000110111,0.0115666,0.737088,92.7633,599
6.87804e-05,0.0115666,0.744389,83.3937,775
0.000101892,0.0115666,0.743134,83.8943,728
0.000105793,0.0115666,0.742164,73.5603,1486
0.000108123,0.0115666,0.751606,76.8801,1162
0.000109415,0.0115666,0.75257,70.703,1264
0.000118515,0.0115666,0.746588,69.1493,1822
0.000143603,0.0115666,0.762834,79.6539,647
8.09027e-05,0.0115666,0.74586,83.4016,810
8.85206e-05,0.0115666,0.719237,88.5801,1201
9.85622e-05,0.0115666,0.73017,85.8292,843
0.000116044,0.0115666,0.741297,72.5448,1369
0.000104403,0.0115666,0.737101,82.2857,788
0.000106433,0.0115666,0.741242,83.8247,1129
6.46802e-05,0.0115666,0.746106,78.3849,497
8.77417e-05,0.0115666,0.744569,84.6062,810
0.000103672,0.0115666,0.739614,75.7662,1202
7.23422e-05,0.0115666,0.742384,78.4256,687
7.63333e-05,0.0115666,0.740292,68.3999,1707
0.000167486,0.0115666,0.735526,72.1529,1386
8.76744e-05,0.0115666,0.736893,78.0544,775
7.8021e-05,0.0115666,0.740389,89.1144,578
7.86278e-05,0.0115666,0.722219,86.8059,708
0.000152359,0.0115666,0.740523,75.2054,976
5.1634e-05,0.019987,0.821015,56.9424,503
5.98077e-05,0.019987,0.806926,65.8672,369
5.24599e-05,0.019987,0.819404,61.6979,506
4.79077e-05,0.019987,0.808663,64.1851,343
4.62386e-05,0.019987,0.81824,55.1204,1027
5.29607e-05,0.019987,0.818404,63.4494,614
5.96103e-05,0.019987,0.819549,56.8508,704
6.29854e-05,0.019987,0.81534,68.7883,496
4.80849e-05,0.019987,0.80758,63.1337,494
5.37275e-05,0.019987,0.82125,71.6163,295
4.93684e-05,0.019987,0.818061,71.1037,395
5.93542e-05,0.019987,0.818596,55.0916,872
4.82919e-05,0.019987,0.821873,63.109,498
4.3605e-05,0.019987,0.812444,56.7978,654
5.13112e-05,0.019987,0.819994,64.0039,517
4.85288e-05,0.019987,0.824177,63.2723,456
5.31536e-05,0.019987,0.817944,57.7703,649
5.11693e-05,0.019987,0.816308,61.9955,697
5.98874e-05,0.019987,0.813035,55.9687,595
4.77375e-05,0.019987,0.818061,78.0966,352
4.86381e-05,0.019987,0.819193,65.5659,372
5.18629e-05,0.019987,0.807262,65.5294,306
5.98871e-05,0.019987,0.821836,52.8169,1140
4.75005e-05,0.019987,0.814927,59.6491,414
6.57343e-05,0.019987,0.816886,54.1868,714
4.81255e-05,0.019987,0.814093,64.4377,387
5.66296e-05,0.019987,0.822315,64.634,416
4.52324e-05,0.019987,0.824189,61.125,418
4.31071e-05,0.019987,0.819961,59.6531,642
5.02423e-05,0.019987,0.824477,61.0567,373
5.64297e-05,0.019987,0.815652,66.6297,360
4.86533e-05,0.019987,0.81838,70.4683,344
4.52632e-05,0.019987,0.825565,63.4839,516
4.40725e-05,0.019987,0.81282,58.2558,638
5.39424e-05,0.019987,0.82055,66.0124,401
5.06277e-05,0.019987,0.813651,57.8232,549
5.27257e-05,0.019987,0.824169,63.7635,581
5.30141e-05,0.019987,0.81621,58.0721,799
5.5507e-05,0.019987,0.81341,60.9659,561
6.39461e-05,0.019987,0.817711,62.2392,489
4.84306e-05,0.019987,0.818441,75.0921,324
4.23019e-05,0.019987,0.818999,55.2029,894
4.93436e-05,0.019987,0.819546,82.5252,232
5.32164e-05,0.019987,0.810498,60.4597,641
5.31507e-05,0.019987,0.821089,58.192,650
5.35528e-05,0.019987,0.818609,65.2124,552
6.1614e-05,0.019987,0.811118,60.0963,547
5.71983e-05,0.019987,0.820583,75.3887,327
4.83152e-05,0.019987,0.818396,80.3804,337
6.61514e-05,0.019987,0.815516,55.2663,820
4.82425e-05,0.019987,0.818924,60.0725,659
5.62528e-05,0.019987,0.814976,62.3384,561
5.729e-05,0.019987,0.813128,64.2813,423
5.05547e-05,0.019987,0.828796,61.7037,452
6.5795e-05,0.019987,0.819006,59.3731,682
4.81851e-05,0.019987,0.810773,65.7621,519
4.71572e-05,0.019987,0.818411,63.3544,597
5.51473e-05,0.019987,0.821968,56.9314,714
5.11641e-05,0.019987,0.818027,59.2639,508
4.6152e-05,0.019987,0.814812,73.3526,334
5.38669e-05,0.019987,0.826693,66.3558,487
5.32945e-05,0.019987,0.821158,60.2468,587
6.13858e-05,0.019987,0.819076,59.9975,683
5.70354e-05,0.019987,0.812178,66.071,418
4.69061e-05,0.019987,0.821529,66.9982,484
6.00754e-05,0.019987,0.821096,56.1226,754
5.19496e-05,0.019987,0.822357,66.7656,602
5.63659e-05,0.019987,0.822386,65.502,459
4.77469e-05,0.019987,0.823807,59.5304,745
6.46184e-05,0.019987,0.817669,59.7764,536
5.2327e-05,0.019987,0.822045,62.1932,439
5.12023e-05,0.019987,0.818101,61.2462,463
5.40361e-05,0.019987,0.812991,75.8608,319
6.30794e-05,0.019987,0.81467,69.8036,417
5.08535e-05,0.019987,0.812769,64.1075,567
5.70836e-05,0.019987,0.821128,66.444,419
5.12706e-05,0.019987,0.826058,55.9495,596
5.15447e-05,0.019987,0.824358,74.2188,617
5.50095e-05,0.019987,0.808441,61.8076,343
5.22578e-05,0.019987,0.826867,65.2168,445
5.57071e-05,0.019987,0.814731,57.2958,473
5.8164e-05,0.019987,0.811804,52.0186,649
4.83922e-05,0.019987,0.812076,66.3049,386
5.68428e-05,0.019987,0.818022,68.9979,485
5.56237e-05,0.019987,0.828738,64.4292,587
5.75105e-05,0.019987,0.812075,57.3039,681
4.43022e-05,0.019987,0.821805,60.8438,440
6.01032e-05,0.019987,0.818629,61.5872,452
5.0508e-05,0.019987,0.823783,58.9557,505
5.30727e-05,0.019987,0.824292,58.0811,515
5.77523e-05,0.019987,0.810299,61.8499,662
5.4172e-05,0.019987,0.817539,58.8907,516
5.48127e-05,0.019987,0.810484,60.5339,607
5.55181e-05,0.019987,0.818503,66.9486,408
5.62617e-05,0.019987,0.826397,57.7944,720
4.60446e-05,0.019987,0.82628,62.5237,605
5.49339e-05,0.019987,0.820646,60.6411,411
6.71911e-05,0.019987,0.814597,72.3431,372
5.07036e-05,0.019987,0.811846,61.1932,503
5.71656e-05,0.019987,0.807624,59.7782,506
5.68834e-05,0.019987,0.810044,58.5321,460
4.6687e-05,0.019987,0.824431,60.3221,726
6.41573e-05,0.019987,0.80597,62.104,504
5.31651e-05,0.019987,0.825726,65.3453,367
5.70612e-05,0.019987,0.823074,61.6116,745
5.58052e-05,0.019987,0.818552,62.1421,411
4.92271e-05,0.019987,0.813883,64.1642,561
5.11719e-05,0.019987,0.815262,59.2356,499
6.10619e-05,0.019987,0.817943,55.0987,1004
4.4631e-05,0.019987,0.805461,64.6963,474
1 regularity variability improvement Evolution error steps
2 6.57581e-05 0.00592209 0.622392 113.016 2368
3 5.16451e-05 0.00592209 0.610293 118.796 2433
4 6.45083e-05 0.00592209 0.592139 127.157 1655
5 7.14801e-05 0.00592209 0.624039 121.613 1933
6 5.62707e-05 0.00592209 0.611091 119.539 2618
7 5.55953e-05 0.00592209 0.625812 119.512 2505
8 5.96026e-05 0.00592209 0.622873 118.285 1582
9 6.63676e-05 0.00592209 0.602386 126.579 2214
10 5.93125e-05 0.00592209 0.608913 122.512 2262
11 6.05066e-05 0.00592209 0.621467 118.473 2465
12 6.42976e-05 0.00592209 0.602593 121.998 2127
13 5.32868e-05 0.00592209 0.616501 115.313 2746
14 5.47856e-05 0.00592209 0.615173 118.034 2148
15 6.47209e-05 0.00592209 0.603935 120.003 2304
16 7.07812e-05 0.00592209 0.620422 123.494 1941
17 6.49313e-05 0.00592209 0.616232 122.989 2214
18 6.64295e-05 0.00592209 0.605206 123.757 1675
19 5.88806e-05 0.00592209 0.628055 110.67 2230
20 7.56461e-05 0.00592209 0.625361 121.232 2187
21 4.932e-05 0.00592209 0.612261 120.979 2280
22 5.45998e-05 0.00592209 0.61935 115.394 2380
23 6.10654e-05 0.00592209 0.614029 116.928 2327
24 6.09488e-05 0.00592209 0.611892 125.294 1609
25 5.85691e-05 0.00592209 0.632686 111.635 2831
26 6.87292e-05 0.00592209 0.61519 114.681 2565
27 6.53377e-05 0.00592209 0.627408 111.935 2596
28 6.98345e-05 0.00592209 0.616158 111.392 2417
29 7.90547e-05 0.00592209 0.620575 115.346 2031
30 6.50231e-05 0.00592209 0.625725 119.055 1842
31 6.76541e-05 0.00592209 0.625399 117.452 1452
32 5.72222e-05 0.00592209 0.614171 123.379 2186
33 7.42483e-05 0.00592209 0.624683 115.053 2236
34 6.9354e-05 0.00592209 0.619596 123.994 1688
35 5.75478e-05 0.00592209 0.605051 118.576 1930
36 6.01309e-05 0.00592209 0.617511 116.894 2184
37 6.69251e-05 0.00592209 0.608408 120.129 2007
38 4.66926e-05 0.00592209 0.60606 126.708 1552
39 4.90102e-05 0.00592209 0.618673 114.595 2783
40 5.51505e-05 0.00592209 0.619245 120.056 2463
41 6.1007e-05 0.00592209 0.605215 122.057 1493
42 5.04717e-05 0.00592209 0.623503 116.846 2620
43 6.3578e-05 0.00592209 0.625261 124.35 2193
44 5.8875e-05 0.00592209 0.624526 118.43 2502
45 7.95299e-05 0.00592209 0.611719 116.574 1849
46 6.42733e-05 0.00592209 0.608178 128.474 2078
47 6.41674e-05 0.00592209 0.624042 111.111 2037
48 4.88661e-05 0.00592209 0.615408 120.004 2627
49 7.27714e-05 0.00592209 0.626926 119.866 2128
50 4.84641e-05 0.00592209 0.608054 119.676 2408
51 6.66562e-05 0.00592209 0.603902 128.957 1668
52 5.99872e-05 0.00592209 0.63676 108.467 3448
53 7.73127e-05 0.00592209 0.62232 123.353 1551
54 6.67597e-05 0.00592209 0.621411 123.301 2180
55 5.2819e-05 0.00592209 0.617515 114.838 4096
56 5.29257e-05 0.00592209 0.622611 118.611 1973
57 5.35212e-05 0.00592209 0.62533 109.616 3424
58 7.1947e-05 0.00592209 0.632331 113.565 2905
59 5.04311e-05 0.00592209 0.611559 120.01 2147
60 6.57161e-05 0.00592209 0.617789 125.441 1820
61 5.18695e-05 0.00592209 0.610402 122.541 2430
62 6.47262e-05 0.00592209 0.609141 123.169 1989
63 5.87925e-05 0.00592209 0.61627 117.344 2143
64 4.36904e-05 0.00592209 0.631954 112.674 3526
65 6.45195e-05 0.00592209 0.614402 118.787 1765
66 5.8354e-05 0.00592209 0.615515 112.061 2368
67 7.14669e-05 0.00592209 0.628382 110.262 1923
68 7.24908e-05 0.00592209 0.610848 116.504 1830
69 5.98617e-05 0.00592209 0.622949 109.607 3609
70 5.90411e-05 0.00592209 0.629175 122.198 1859
71 5.25569e-05 0.00592209 0.621253 124.527 1876
72 5.86979e-05 0.00592209 0.612603 120.886 2916
73 4.73113e-05 0.00592209 0.610586 119.176 2072
74 5.8777e-05 0.00592209 0.62863 121.081 2338
75 5.6608e-05 0.00592209 0.617215 121.038 3021
76 5.74614e-05 0.00592209 0.626088 112.392 2182
77 6.86466e-05 0.00592209 0.631893 121.148 2246
78 4.77969e-05 0.00592209 0.635218 117.053 2939
79 5.50553e-05 0.00592209 0.610707 123.651 1417
80 6.89628e-05 0.00592209 0.638474 128.446 1840
81 6.85622e-05 0.00592209 0.620769 115.527 2116
82 5.28017e-05 0.00592209 0.614948 121.456 2178
83 7.06916e-05 0.00592209 0.61804 127.418 2354
84 6.81788e-05 0.00592209 0.616056 113.541 2768
85 7.89711e-05 0.00592209 0.615108 116.805 2293
86 5.84297e-05 0.00592209 0.612733 123.244 2206
87 5.53374e-05 0.00592209 0.605062 123.095 1902
88 5.51739e-05 0.00592209 0.631543 115.9 3145
89 6.9413e-05 0.00592209 0.59103 124.024 1475
90 5.08739e-05 0.00592209 0.621454 114.685 3356
91 5.95256e-05 0.00592209 0.626188 113.428 2336
92 5.63659e-05 0.00592209 0.618554 117.456 2105
93 6.32019e-05 0.00592209 0.616926 122.15 1799
94 6.05333e-05 0.00592209 0.613481 124.576 1873
95 5.35997e-05 0.00592209 0.621122 113.63 2834
96 5.94187e-05 0.00592209 0.606925 126.608 1970
97 6.52182e-05 0.00592209 0.610882 129.916 1246
98 6.78626e-05 0.00592209 0.608581 119.673 2155
99 5.12495e-05 0.00592209 0.6262 116.233 3037
100 6.7083e-05 0.00592209 0.608299 125.086 1595
101 6.74099e-05 0.00592209 0.620429 112.897 2800
102 7.0689e-05 0.0115666 0.73748 73.9627 781
103 8.30021e-05 0.0115666 0.733986 79.3303 965
104 0.000115663 0.0115666 0.754351 72.8373 1029
105 0.000115101 0.0115666 0.761361 60.0032 1435
106 0.000130222 0.0115666 0.760933 80.1321 1189
107 0.000134453 0.0115666 0.765 66.1526 1209
108 0.000108858 0.0115666 0.741158 74.6032 940
109 0.000100633 0.0115666 0.742555 71.3161 874
110 9.22496e-05 0.0115666 0.750011 71.9377 1407
111 7.41514e-05 0.0115666 0.742094 70.127 1525
112 0.000149467 0.0115666 0.75484 61.7195 1705
113 0.000168885 0.0115666 0.73862 86.6101 593
114 0.000122462 0.0115666 0.731222 77.235 770
115 0.000117266 0.0115666 0.757041 70.3058 1136
116 0.000119127 0.0115666 0.747804 73.3268 890
117 0.000124455 0.0115666 0.748928 72.8603 743
118 9.47125e-05 0.0115666 0.738797 70.5867 1935
119 7.9171e-05 0.0115666 0.741438 79.8851 1007
120 9.00926e-05 0.0115666 0.729562 89.169 854
121 9.71306e-05 0.0115666 0.73793 86.3505 849
122 0.000113959 0.0115666 0.738424 77.8282 842
123 0.000108279 0.0115666 0.755674 70.418 1942
124 6.42834e-05 0.0115666 0.740169 82.3889 861
125 8.8094e-05 0.0115666 0.737385 80.3257 902
126 8.57496e-05 0.0115666 0.731752 85.6612 649
127 7.97196e-05 0.0115666 0.764609 76.2377 671
128 0.000107926 0.0115666 0.747697 76.8062 905
129 5.63544e-05 0.0115666 0.740041 75.0253 1091
130 0.000127036 0.0115666 0.746509 73.6296 1218
131 8.93177e-05 0.0115666 0.750775 71.8145 1018
132 7.13592e-05 0.0115666 0.746741 82.1172 1052
133 0.000121511 0.0115666 0.747184 68.4228 1322
134 0.000154913 0.0115666 0.736936 74.5628 937
135 0.000120138 0.0115666 0.75356 82.4297 698
136 5.97068e-05 0.0115666 0.744391 74.6568 952
137 0.000104185 0.0115666 0.7341 76.5874 1223
138 0.000123751 0.0115666 0.735266 82.2821 715
139 0.000108341 0.0115666 0.744947 71.321 1058
140 9.75329e-05 0.0115666 0.746476 80.1887 1033
141 6.51759e-05 0.0115666 0.754359 60.0022 3631
142 9.35949e-05 0.0115666 0.733867 73.5674 1300
143 8.56673e-05 0.0115666 0.744773 68.7547 1081
144 7.41782e-05 0.0115666 0.754371 97.4154 907
145 0.000111943 0.0115666 0.749778 81.1639 1013
146 8.48407e-05 0.0115666 0.726201 82.2747 473
147 6.14894e-05 0.0115666 0.746102 70.415 938
148 6.76652e-05 0.0115666 0.736705 72.564 881
149 9.73343e-05 0.0115666 0.754973 70.1961 1019
150 9.54201e-05 0.0115666 0.718442 83.8507 762
151 7.51464e-05 0.0115666 0.736317 82.3622 646
152 0.000105639 0.0115666 0.741073 74.3285 1122
153 0.000131041 0.0115666 0.735624 84.2108 860
154 0.000136142 0.0115666 0.754096 69.7744 1124
155 8.76576e-05 0.0115666 0.734191 82.1376 889
156 8.54651e-05 0.0115666 0.731117 74.2818 715
157 0.000121696 0.0115666 0.736555 78.989 1029
158 0.000124672 0.0115666 0.748948 82.2812 939
159 0.000135654 0.0115666 0.738358 74.0614 1106
160 7.8306e-05 0.0115666 0.73738 83.257 390
161 0.000117894 0.0115666 0.756543 72.454 1223
162 0.000107745 0.0115666 0.729775 71.9554 1000
163 0.000177142 0.0115666 0.733159 93.8159 756
164 0.000120879 0.0115666 0.752328 64.5602 979
165 0.000160079 0.0115666 0.737225 81.597 836
166 0.000108096 0.0115666 0.737118 74.8947 802
167 0.000104671 0.0115666 0.746382 71.937 1625
168 8.82439e-05 0.0115666 0.739388 82.8423 728
169 0.000128997 0.0115666 0.754149 66.0827 1490
170 0.0001338 0.0115666 0.751957 79.8222 859
171 0.000112858 0.0115666 0.745379 80.2208 729
172 0.000114923 0.0115666 0.749297 76.7288 856
173 7.53845e-05 0.0115666 0.748722 75.2866 842
174 7.55779e-05 0.0115666 0.77028 75.6383 970
175 8.87548e-05 0.0115666 0.743615 79.3073 806
176 8.4754e-05 0.0115666 0.760469 69.5742 1140
177 0.000129571 0.0115666 0.745269 76.4946 975
178 0.000110111 0.0115666 0.737088 92.7633 599
179 6.87804e-05 0.0115666 0.744389 83.3937 775
180 0.000101892 0.0115666 0.743134 83.8943 728
181 0.000105793 0.0115666 0.742164 73.5603 1486
182 0.000108123 0.0115666 0.751606 76.8801 1162
183 0.000109415 0.0115666 0.75257 70.703 1264
184 0.000118515 0.0115666 0.746588 69.1493 1822
185 0.000143603 0.0115666 0.762834 79.6539 647
186 8.09027e-05 0.0115666 0.74586 83.4016 810
187 8.85206e-05 0.0115666 0.719237 88.5801 1201
188 9.85622e-05 0.0115666 0.73017 85.8292 843
189 0.000116044 0.0115666 0.741297 72.5448 1369
190 0.000104403 0.0115666 0.737101 82.2857 788
191 0.000106433 0.0115666 0.741242 83.8247 1129
192 6.46802e-05 0.0115666 0.746106 78.3849 497
193 8.77417e-05 0.0115666 0.744569 84.6062 810
194 0.000103672 0.0115666 0.739614 75.7662 1202
195 7.23422e-05 0.0115666 0.742384 78.4256 687
196 7.63333e-05 0.0115666 0.740292 68.3999 1707
197 0.000167486 0.0115666 0.735526 72.1529 1386
198 8.76744e-05 0.0115666 0.736893 78.0544 775
199 7.8021e-05 0.0115666 0.740389 89.1144 578
200 7.86278e-05 0.0115666 0.722219 86.8059 708
201 0.000152359 0.0115666 0.740523 75.2054 976
202 5.1634e-05 0.019987 0.821015 56.9424 503
203 5.98077e-05 0.019987 0.806926 65.8672 369
204 5.24599e-05 0.019987 0.819404 61.6979 506
205 4.79077e-05 0.019987 0.808663 64.1851 343
206 4.62386e-05 0.019987 0.81824 55.1204 1027
207 5.29607e-05 0.019987 0.818404 63.4494 614
208 5.96103e-05 0.019987 0.819549 56.8508 704
209 6.29854e-05 0.019987 0.81534 68.7883 496
210 4.80849e-05 0.019987 0.80758 63.1337 494
211 5.37275e-05 0.019987 0.82125 71.6163 295
212 4.93684e-05 0.019987 0.818061 71.1037 395
213 5.93542e-05 0.019987 0.818596 55.0916 872
214 4.82919e-05 0.019987 0.821873 63.109 498
215 4.3605e-05 0.019987 0.812444 56.7978 654
216 5.13112e-05 0.019987 0.819994 64.0039 517
217 4.85288e-05 0.019987 0.824177 63.2723 456
218 5.31536e-05 0.019987 0.817944 57.7703 649
219 5.11693e-05 0.019987 0.816308 61.9955 697
220 5.98874e-05 0.019987 0.813035 55.9687 595
221 4.77375e-05 0.019987 0.818061 78.0966 352
222 4.86381e-05 0.019987 0.819193 65.5659 372
223 5.18629e-05 0.019987 0.807262 65.5294 306
224 5.98871e-05 0.019987 0.821836 52.8169 1140
225 4.75005e-05 0.019987 0.814927 59.6491 414
226 6.57343e-05 0.019987 0.816886 54.1868 714
227 4.81255e-05 0.019987 0.814093 64.4377 387
228 5.66296e-05 0.019987 0.822315 64.634 416
229 4.52324e-05 0.019987 0.824189 61.125 418
230 4.31071e-05 0.019987 0.819961 59.6531 642
231 5.02423e-05 0.019987 0.824477 61.0567 373
232 5.64297e-05 0.019987 0.815652 66.6297 360
233 4.86533e-05 0.019987 0.81838 70.4683 344
234 4.52632e-05 0.019987 0.825565 63.4839 516
235 4.40725e-05 0.019987 0.81282 58.2558 638
236 5.39424e-05 0.019987 0.82055 66.0124 401
237 5.06277e-05 0.019987 0.813651 57.8232 549
238 5.27257e-05 0.019987 0.824169 63.7635 581
239 5.30141e-05 0.019987 0.81621 58.0721 799
240 5.5507e-05 0.019987 0.81341 60.9659 561
241 6.39461e-05 0.019987 0.817711 62.2392 489
242 4.84306e-05 0.019987 0.818441 75.0921 324
243 4.23019e-05 0.019987 0.818999 55.2029 894
244 4.93436e-05 0.019987 0.819546 82.5252 232
245 5.32164e-05 0.019987 0.810498 60.4597 641
246 5.31507e-05 0.019987 0.821089 58.192 650
247 5.35528e-05 0.019987 0.818609 65.2124 552
248 6.1614e-05 0.019987 0.811118 60.0963 547
249 5.71983e-05 0.019987 0.820583 75.3887 327
250 4.83152e-05 0.019987 0.818396 80.3804 337
251 6.61514e-05 0.019987 0.815516 55.2663 820
252 4.82425e-05 0.019987 0.818924 60.0725 659
253 5.62528e-05 0.019987 0.814976 62.3384 561
254 5.729e-05 0.019987 0.813128 64.2813 423
255 5.05547e-05 0.019987 0.828796 61.7037 452
256 6.5795e-05 0.019987 0.819006 59.3731 682
257 4.81851e-05 0.019987 0.810773 65.7621 519
258 4.71572e-05 0.019987 0.818411 63.3544 597
259 5.51473e-05 0.019987 0.821968 56.9314 714
260 5.11641e-05 0.019987 0.818027 59.2639 508
261 4.6152e-05 0.019987 0.814812 73.3526 334
262 5.38669e-05 0.019987 0.826693 66.3558 487
263 5.32945e-05 0.019987 0.821158 60.2468 587
264 6.13858e-05 0.019987 0.819076 59.9975 683
265 5.70354e-05 0.019987 0.812178 66.071 418
266 4.69061e-05 0.019987 0.821529 66.9982 484
267 6.00754e-05 0.019987 0.821096 56.1226 754
268 5.19496e-05 0.019987 0.822357 66.7656 602
269 5.63659e-05 0.019987 0.822386 65.502 459
270 4.77469e-05 0.019987 0.823807 59.5304 745
271 6.46184e-05 0.019987 0.817669 59.7764 536
272 5.2327e-05 0.019987 0.822045 62.1932 439
273 5.12023e-05 0.019987 0.818101 61.2462 463
274 5.40361e-05 0.019987 0.812991 75.8608 319
275 6.30794e-05 0.019987 0.81467 69.8036 417
276 5.08535e-05 0.019987 0.812769 64.1075 567
277 5.70836e-05 0.019987 0.821128 66.444 419
278 5.12706e-05 0.019987 0.826058 55.9495 596
279 5.15447e-05 0.019987 0.824358 74.2188 617
280 5.50095e-05 0.019987 0.808441 61.8076 343
281 5.22578e-05 0.019987 0.826867 65.2168 445
282 5.57071e-05 0.019987 0.814731 57.2958 473
283 5.8164e-05 0.019987 0.811804 52.0186 649
284 4.83922e-05 0.019987 0.812076 66.3049 386
285 5.68428e-05 0.019987 0.818022 68.9979 485
286 5.56237e-05 0.019987 0.828738 64.4292 587
287 5.75105e-05 0.019987 0.812075 57.3039 681
288 4.43022e-05 0.019987 0.821805 60.8438 440
289 6.01032e-05 0.019987 0.818629 61.5872 452
290 5.0508e-05 0.019987 0.823783 58.9557 505
291 5.30727e-05 0.019987 0.824292 58.0811 515
292 5.77523e-05 0.019987 0.810299 61.8499 662
293 5.4172e-05 0.019987 0.817539 58.8907 516
294 5.48127e-05 0.019987 0.810484 60.5339 607
295 5.55181e-05 0.019987 0.818503 66.9486 408
296 5.62617e-05 0.019987 0.826397 57.7944 720
297 4.60446e-05 0.019987 0.82628 62.5237 605
298 5.49339e-05 0.019987 0.820646 60.6411 411
299 6.71911e-05 0.019987 0.814597 72.3431 372
300 5.07036e-05 0.019987 0.811846 61.1932 503
301 5.71656e-05 0.019987 0.807624 59.7782 506
302 5.68834e-05 0.019987 0.810044 58.5321 460
303 4.6687e-05 0.019987 0.824431 60.3221 726
304 6.41573e-05 0.019987 0.80597 62.104 504
305 5.31651e-05 0.019987 0.825726 65.3453 367
306 5.70612e-05 0.019987 0.823074 61.6116 745
307 5.58052e-05 0.019987 0.818552 62.1421 411
308 4.92271e-05 0.019987 0.813883 64.1642 561
309 5.11719e-05 0.019987 0.815262 59.2356 499
310 6.10619e-05 0.019987 0.817943 55.0987 1004
311 4.4631e-05 0.019987 0.805461 64.6963 474

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@ -0,0 +1,184 @@
*******************************************************************************
Mon Oct 23 12:09:55 2017
FIT: data read from "YxYxY.csv" every ::1 using 1:5
format = x:z
#datapoints = 310
residuals are weighted equally (unit weight)
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 6.92039e+08 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.707107
initial set of free parameter values
a = 1
b = 1
After 2 iterations the fit converged.
final sum of squares of residuals : 2.0943e+08
rel. change during last iteration : -6.36839e-06
degrees of freedom (FIT_NDF) : 308
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 824.601
variance of residuals (reduced chisquare) = WSSR/ndf : 679967
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -90.5276 +/- 1.737e+06 (1.919e+06%)
b = 1248.73 +/- 133.7 (10.71%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.937 1.000
*******************************************************************************
Mon Oct 23 12:09:55 2017
FIT: data read from "YxYxY.csv" every ::1 using 3:5
format = x:z
#datapoints = 310
residuals are weighted equally (unit weight)
function used for fitting: g(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 6.91512e+08 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.877145
initial set of free parameter values
aa = 1
bb = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 5.45204e+07
rel. change during last iteration : -3.71707e-14
degrees of freedom (FIT_NDF) : 308
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 420.731
variance of residuals (reduced chisquare) = WSSR/ndf : 177014
Final set of parameters Asymptotic Standard Error
======================= ==========================
aa = -8487.73 +/- 286.9 (3.38%)
bb = 7438.54 +/- 210.6 (2.831%)
correlation matrix of the fit parameters:
aa bb
aa 1.000
bb -0.994 1.000
*******************************************************************************
Mon Oct 23 12:09:55 2017
FIT: data read from "YxYxY.csv" every ::1 using 3:4
format = x:z
#datapoints = 310
residuals are weighted equally (unit weight)
function used for fitting: h(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 2.36935e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.877145
initial set of free parameter values
aaa = 1
bbb = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 12579.6
rel. change during last iteration : -2.05041e-13
degrees of freedom (FIT_NDF) : 308
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.39083
variance of residuals (reduced chisquare) = WSSR/ndf : 40.8428
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaa = -285.646 +/- 4.358 (1.526%)
bbb = 293.902 +/- 3.199 (1.088%)
correlation matrix of the fit parameters:
aaa bbb
aaa 1.000
bbb -0.994 1.000
*******************************************************************************
Mon Oct 23 12:09:55 2017
FIT: data read from "YxYxY.csv" every ::1 using 2:4
format = x:z
#datapoints = 310
residuals are weighted equally (unit weight)
function used for fitting: i(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 2.40562e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.707176
initial set of free parameter values
aaaa = 1
bbbb = 1
After 4 iterations the fit converged.
final sum of squares of residuals : 36249.8
rel. change during last iteration : -9.22032e-06
degrees of freedom (FIT_NDF) : 308
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 10.8487
variance of residuals (reduced chisquare) = WSSR/ndf : 117.694
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaaa = -3790.61 +/- 105.6 (2.785%)
bbbb = 133.858 +/- 1.479 (1.105%)
correlation matrix of the fit parameters:
aaaa bbbb
aaaa 1.000
bbbb -0.909 1.000

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@ -0,0 +1,282 @@
Iteration 0
WSSR : 6.92039e+08 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.707107
initial set of free parameter values
a = 1
b = 1
/
Iteration 1
WSSR : 2.09431e+08 delta(WSSR)/WSSR : -2.30437
delta(WSSR) : -4.82608e+08 limit for stopping : 1e-05
lambda : 0.0707107
resultant parameter values
a = 0.182673
b = 1246.71
/
Iteration 2
WSSR : 2.0943e+08 delta(WSSR)/WSSR : -6.36839e-06
delta(WSSR) : -1333.73 limit for stopping : 1e-05
lambda : 0.00707107
resultant parameter values
a = -90.5276
b = 1248.73
After 2 iterations the fit converged.
final sum of squares of residuals : 2.0943e+08
rel. change during last iteration : -6.36839e-06
degrees of freedom (FIT_NDF) : 308
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 824.601
variance of residuals (reduced chisquare) = WSSR/ndf : 679967
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -90.5276 +/- 1.737e+06 (1.919e+06%)
b = 1248.73 +/- 133.7 (10.71%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.937 1.000
Iteration 0
WSSR : 6.91512e+08 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.877145
initial set of free parameter values
aa = 1
bb = 1
/
Iteration 1
WSSR : 7.67742e+07 delta(WSSR)/WSSR : -8.00708
delta(WSSR) : -6.14737e+08 limit for stopping : 1e-05
lambda : 0.0877145
resultant parameter values
aa = -5274.27
bb = 5082.46
/
Iteration 2
WSSR : 5.4521e+07 delta(WSSR)/WSSR : -0.408157
delta(WSSR) : -2.22532e+07 limit for stopping : 1e-05
lambda : 0.00877145
resultant parameter values
aa = -8470.18
bb = 7425.69
/
Iteration 3
WSSR : 5.45204e+07 delta(WSSR)/WSSR : -1.21661e-05
delta(WSSR) : -663.303 limit for stopping : 1e-05
lambda : 0.000877145
resultant parameter values
aa = -8487.73
bb = 7438.54
/
Iteration 4
WSSR : 5.45204e+07 delta(WSSR)/WSSR : -3.71707e-14
delta(WSSR) : -2.02656e-06 limit for stopping : 1e-05
lambda : 8.77145e-05
resultant parameter values
aa = -8487.73
bb = 7438.54
After 4 iterations the fit converged.
final sum of squares of residuals : 5.45204e+07
rel. change during last iteration : -3.71707e-14
degrees of freedom (FIT_NDF) : 308
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 420.731
variance of residuals (reduced chisquare) = WSSR/ndf : 177014
Final set of parameters Asymptotic Standard Error
======================= ==========================
aa = -8487.73 +/- 286.9 (3.38%)
bb = 7438.54 +/- 210.6 (2.831%)
correlation matrix of the fit parameters:
aa bb
aa 1.000
bb -0.994 1.000
Iteration 0
WSSR : 2.36935e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.877145
initial set of free parameter values
aaa = 1
bbb = 1
/
Iteration 1
WSSR : 41364.3 delta(WSSR)/WSSR : -56.2801
delta(WSSR) : -2.32799e+06 limit for stopping : 1e-05
lambda : 0.0877145
resultant parameter values
aaa = -170.112
bbb = 209.13
/
Iteration 2
WSSR : 12580.4 delta(WSSR)/WSSR : -2.28799
delta(WSSR) : -28783.9 limit for stopping : 1e-05
lambda : 0.00877145
resultant parameter values
aaa = -285.015
bbb = 293.439
/
Iteration 3
WSSR : 12579.6 delta(WSSR)/WSSR : -6.81936e-05
delta(WSSR) : -0.857846 limit for stopping : 1e-05
lambda : 0.000877145
resultant parameter values
aaa = -285.646
bbb = 293.902
/
Iteration 4
WSSR : 12579.6 delta(WSSR)/WSSR : -2.05041e-13
delta(WSSR) : -2.57933e-09 limit for stopping : 1e-05
lambda : 8.77145e-05
resultant parameter values
aaa = -285.646
bbb = 293.902
After 4 iterations the fit converged.
final sum of squares of residuals : 12579.6
rel. change during last iteration : -2.05041e-13
degrees of freedom (FIT_NDF) : 308
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.39083
variance of residuals (reduced chisquare) = WSSR/ndf : 40.8428
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaa = -285.646 +/- 4.358 (1.526%)
bbb = 293.902 +/- 3.199 (1.088%)
correlation matrix of the fit parameters:
aaa bbb
aaa 1.000
bbb -0.994 1.000
Iteration 0
WSSR : 2.40562e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 0.707176
initial set of free parameter values
aaaa = 1
bbbb = 1
/
Iteration 1
WSSR : 181981 delta(WSSR)/WSSR : -12.2191
delta(WSSR) : -2.22364e+06 limit for stopping : 1e-05
lambda : 0.0707176
resultant parameter values
aaaa = -76.3651
bbbb = 86.4242
/
Iteration 2
WSSR : 51298.2 delta(WSSR)/WSSR : -2.54751
delta(WSSR) : -130683 limit for stopping : 1e-05
lambda : 0.00707176
resultant parameter values
aaaa = -2597.04
bbbb = 118.659
/
Iteration 3
WSSR : 36250.1 delta(WSSR)/WSSR : -0.415118
delta(WSSR) : -15048.1 limit for stopping : 1e-05
lambda : 0.000707176
resultant parameter values
aaaa = -3784.98
bbbb = 133.786
/
Iteration 4
WSSR : 36249.8 delta(WSSR)/WSSR : -9.22032e-06
delta(WSSR) : -0.334235 limit for stopping : 1e-05
lambda : 7.07176e-05
resultant parameter values
aaaa = -3790.61
bbbb = 133.858
After 4 iterations the fit converged.
final sum of squares of residuals : 36249.8
rel. change during last iteration : -9.22032e-06
degrees of freedom (FIT_NDF) : 308
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 10.8487
variance of residuals (reduced chisquare) = WSSR/ndf : 117.694
Final set of parameters Asymptotic Standard Error
======================= ==========================
aaaa = -3790.61 +/- 105.6 (2.785%)
bbbb = 133.858 +/- 1.479 (1.105%)
correlation matrix of the fit parameters:
aaaa bbbb
aaaa 1.000
bbbb -0.909 1.000

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set datafile separator ","
f(x)=a*x+b
fit f(x) "YxYxY.csv" every ::1 using 1:5 via a,b
set terminal png
set xlabel 'regularity'
set ylabel 'steps'
set output "YxYxY_regularity-vs-steps.png"
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 1:5 title "4x4x4", "20170926_3dFit_5x5x5_100times.csv" every ::1 using 1:5 title "5x5x5", "20171021-evolution3D_6x6_100Times.csv" every ::1 using 1:5 title "6x6x6", f(x) title "lin. fit" lc rgb "black"
g(x)=aa*x+bb
fit g(x) "YxYxY.csv" every ::1 using 3:5 via aa,bb
set xlabel 'improvement potential'
set ylabel 'steps'
set output "YxYxY_improvement-vs-steps.png"
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:5 title "4x4x4", "20170926_3dFit_5x5x5_100times.csv" every ::1 using 3:5 title "5x5x5", "20171021-evolution3D_6x6_100Times.csv" every ::1 using 3:5 title "6x6x6", g(x) title "lin. fit" lc rgb "black"
h(x)=aaa*x+bbb
fit h(x) "YxYxY.csv" every ::1 using 3:4 via aaa,bbb
set xlabel 'improvement potential'
set ylabel 'evolution error'
set output "YxYxY_improvement-vs-evo-error.png"
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 3:4 title "4x4x4", "20170926_3dFit_5x5x5_100times.csv" every ::1 using 3:4 title "5x5x5", "20171021-evolution3D_6x6_100Times.csv" every ::1 using 3:4 title "6x6x6", h(x) title "lin. fit" lc rgb "black"
i(x)=aaaa*x+bbbb
fit i(x) "YxYxY.csv" every ::1 using 2:4 via aaaa,bbbb
set xlabel 'variability'
set ylabel 'evolution error'
set output "YxYxY_variability-vs-evo-error.png"
plot "20170926_3dFit_4x4x4_100times.csv" every ::1 using 2:4 title "4x4x4", "20170926_3dFit_5x5x5_100times.csv" every ::1 using 2:4 title "5x5x5", "20171021-evolution3D_6x6_100Times.csv" every ::1 using 2:4 title "6x6x6", i(x) title "lin. fit" lc rgb "black"

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